The total number of data points required for image generation in Raman microscopy was greatly reduced using sparse sampling strategies, in which the preceding set of measurements informed the next most information-rich sampling location. Using this approach, chemical images of pharmaceutical materials were obtained with >99% accuracy from 15.8% sampling, representing an ~6-fold reduction in measurement time relative to full field of view rastering with comparable image quality. This supervised learning approach to dynamic sampling (SLADS) has the distinct advantage of being directly compatible with standard confocal Raman instrumentation. Furthermore, SLADS is not limited to Raman imaging, potentially providing time-savings in image reconstruction whenever the single-pixel measurement time is the limiting factor in image generation.

Cocrytals as a solid form technology for improving physicochemical properties have grown increasing popular in the pharmaceutical, nutraceutical, and agrochemical industries. However, the list of potential coformers contains hundreds of...

The low limits of detection afforded by second harmonic generation (SHG) microscopy coupled with image analysis algorithms enabled quantitative modeling of the temperature-dependent crystallization of active pharmaceutical ingredients (APIs) within amorphous solid dispersions (ASDs). ASDs, in which an API is maintained in an amorphous state within a polymer matrix, are finding increasing use to address solubility limitations of small-molecule APIs. Extensive stability testing is typically performed for ASD characterization, the time frame for which is often dictated by the earliest detectable onset of crystal formation. Here a study of accelerated stability testing on ritonavir, a human immunodeficiency virus (HIV) protease inhibitor, has been conducted. Under the condition for accelerated stability testing at 50 °C/75%RH and 40 °C/75%RH, ritonavir crystallization kinetics from amorphous solid dispersions were monitored by SHG microscopy. SHG microscopy coupled by image analysis yielded limits of detection for ritonavir crystals as low as 10 ppm, which is about 2 orders of magnitude lower than other methods currently available for crystallinity detection in ASDs. The four decade dynamic range of SHG microscopy enabled quantitative modeling with an established (JMAK) kinetic model. From the SHG images, nucleation and crystal growth rates were independently determined.

Single-particle tracking of crystal growth performed in situ enables substantial improvements in the signal-to-noise ratio (SNR) for recovered crystal nucleation and growth rates by nonlinear optical microscopy. Second harmonic generation (SHG) is exquisitely sensitive to noncentrosymmetric crystals, including those produced by many homochiral active pharmaceutical ingredients (APIs). Accelerated stability testing at elevated temperatures and relative humidity informs design of pharmaceutical formulations. In the present work, we demonstrate reduction in the Poisson noise associated with the finite number of particles present in a given field of view through continuous monitoring during stability testing. Single-particle tracking enables recovery of crystal growth rates of individual crystallites and enables unambiguous direct detection of nucleation events. Collectively, these capabilities provide significant improvements in the signal-to-noise for nucleation and crystal growth measurements, corresponding to approximately an order of magnitude reduction in anticipated measurement time for recovery of kinetics parameters.